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IISc SraVaani: India's First Open-Source Speech Recognition Model for 65 Languages

Target:UPSC GS-IIIMPSCTeachingSSC GAPrelims HighMains Medium
13 Aug 2026
~2 min
Source: The Hindu
Key Data:65 languages and dialects20 scheduled languages45 regional languages/dialects25 crore people9.5% word error rate on Garo69.4% next-best WER
Bodies:IIScARTPARKGoogle
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What This Article Covers

1.SraVaani is the first multilingual Indian speech recognition model covering 65 languages/dialects, including 20 scheduled and 45 non-scheduled languages.

2.Developed by IISc's SPIRE Lab with ARTPARK and Google, released free under MIT license on Hugging Face.

3.Achieves a remarkable 9.5% word error rate on Garo vs 69.4% for next-best system – a key data point for prelims.

The Big Picture
Prelims · HighMains · Medium

IISc's SPIRE Lab, in collaboration with ARTPARK and Google, has released SraVaani – the first multilingual Indian speech recognition model trained on 65 languages and dialects. It extends ASR to 45 underserved regional languages, potentially benefiting 25 crore people. This marks a major step in inclusive AI for India's linguistic diversity.

Exam Lens

Quick Exam Facts From News

Total languages/dialects65
Scheduled languages covered20
Regional languages/dialects45
People newly served (2011 Census)~25 crore
Word error rate on Garo9.5%
Next-best system WER on Garo69.4%
LicenseMIT (open source)
PlatformHugging Face

1-Minute Revision

  • ›Total languages/dialects: 65
  • ›Scheduled languages covered: 20
  • ›Target this Data: 65 languages/dialects (20 scheduled + 45 regional); 25 crore people; 9.5% WER on Garo; 69.4% next-best WER
  • ›Target this Nodal Body: IISc (SPIRE Lab) – key institution; ARTPARK and Google as collaborators
  • ›Target this Platform: Hugging Face (open-source AI model repository)

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Practice exam-style questions, track your score, and strengthen your recall.

Q1Static LinkageEasy

Which institution's SPIRE Lab developed the SraVaani speech recognition model?

Q2Statement-basedHard

Consider the following statements regarding SraVaani:

1. It is trained on 65 Indian languages and dialects, including 20 scheduled languages.

2. The model is proprietary and available only through a commercial license from Google.

3. It achieved a word error rate of 9.5% on the Garo language.

Which of the statements given above is/are correct?

Q3Data-centricMedium

According to the article, what is the word error rate achieved by SraVaani on the Garo language?

Q4Application/ImpactMedium

What is the primary objective of the SraVaani model as described in the article?

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